covid19/keywords/README.md

# Keywords

This code finds trending web searches related to the COVID-19 pandemic using Google trends (`collect_trends.py`). It then searches for relevant keywords on Wikidata (`wikidata_search`) in order to find high-quality translations of important words and phrases (`wikidata_translations.py`). The goal is to support efforts expanding the Observatory to information in many languages beyond English.  

We search the Wikidata API for entities in `src/wikidata_search.py` and then we make simple SPARQL queries in `src/wikidata_translations.py` to collect labels and aliases the entities.  The labels come with language metadata.  This seems to provide a decent initial list of relevant terms across multiple languages. 

The output data lives at [covid19.communitydata.science](https://covid19.communitydata.science/datasets/keywords).
Improve README.md for keywords 2020-03-31 22:25:51 +00:00			`# Keywords`
Finish MVP for transliterations code is reasonably well-written checked that we get seemingly good data back adding README adding data 2020-03-25 05:06:08 +00:00
Improve README.md for keywords 2020-03-31 22:25:51 +00:00			This code finds trending web searches related to the COVID-19 pandemic using Google trends (`collect_trends.py`). It then searches for relevant keywords on Wikidata (`wikidata_search`) in order to find high-quality translations of important words and phrases (`wikidata_translations.py`). The goal is to support efforts expanding the Observatory to information in many languages beyond English.

			We search the Wikidata API for entities in `src/wikidata_search.py` and then we make simple SPARQL queries in `src/wikidata_translations.py` to collect labels and aliases the entities. The labels come with language metadata. This seems to provide a decent initial list of relevant terms across multiple languages.

			`The output data lives at [covid19.communitydata.science](https://covid19.communitydata.science/datasets/keywords).`